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  Published Paper Details:

  Paper Title

DATA LEAKAGE DETECTION SYSTEM IN DATA MINING

  Authors

  M.Akhil Kumar Reddy,  Narendra.B,  Ravi Varama Moru,  V.Sai Surya Teja,  Pabbathi Dileep

  Keywords

data leakage, data mining, problem setup and notations, guilt agents

  Abstract


In the course of doing business, sometimes sensitive data must be handed over to supposedly trusted third parties. For example, a hospital may give patient records to researchers who will devise new treatments. Similarly, a company may have partnerships with other companies that Require sharing customer data. Another enterprise may outsource its data processing, so data must be given to various other companies. We call the owner of the data the distributor and the supposedly trusted third parties the agents. Our goal is to detect when the distributor's sensitive. Data has been leaked by agents, and if possible, to identify the agent that leaked the data.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2308225

  Paper ID - 242424

  Page Number(s) - c21-c28

  Pubished in - Volume 11 | Issue 8 | August 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  M.Akhil Kumar Reddy,  Narendra.B,  Ravi Varama Moru,  V.Sai Surya Teja,  Pabbathi Dileep,   "DATA LEAKAGE DETECTION SYSTEM IN DATA MINING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 8, pp.c21-c28, August 2023, Available at :http://www.ijcrt.org/papers/IJCRT2308225.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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